English | 2022 | ISBN: 1108832377 | 231 pages | PDF | 9.4 MB
Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.

English | 2020 | ISBN: 0750324309 | 299 pages | True (PDF,EPUB,MOB) | 56.45 MB
This book focuses on use-inspired basic science by connecting theoretical methods and mathematical developments in ecology with practical real-world problems, either in production or conservation. The text aims to increase the reader's confidence to rely on partial aspects and relations of systems to which we only have an incomplete understanding. By abstracting and simplifying problems, Ecological Modelling and Ecophysics seeks to expand the reader's understanding and ability to solve practical issues with rigorous quantitative methods.

English | 2021 | ISBN: 0128236981 | 486 pages | True pdf, epub | 38.44 MB
Discrete Networked Dynamic Systems: Analysis and Performanceprovides a high-level treatment of a general class of linear discrete-time dynamic systems interconnected over an information network, exchanging relative state measurements or output measurements. It presents a systematic analysis of the material and providesan account to the math development in a unified way.

English | 2019 | ISBN: 978-0323547581 | 218 pages | True pdf | 13.26 MB
Written with the radiography student in mind,Digital Radiography and PACS, 3rd Editionaddresses today's digital imaging systems, including computed radiography (CR), digital radiography (DR), and picture archiving and communications systems (PACS). This new edition incorporates the latest technical terminology and has been updated to reflect the 2017 ASRT Core Curriculum guidelines. It includes tips on acquiring, processing, and producing clear radiographic images, performing advanced image processing and manipulation functions on CR/DR workstations, storing images with PACS workstations, and a guide to quality control and management. Coauthored by radiography educators Christi Carter and Beth Veale, this text is designed to help you produce clear radiographic images and learn to provide safe archiving solutions.

English | 2021 | ISBN: 1538141353 | 189 pages | True PDF EPUB | 8.69 MB
More and more individuals today are "digital natives." They are comfortable with all of the advances in technology, using it every day. However, while they may be able to access the digital world easily does not translate into being able to successfully navigate it. Regardless of age and experience, young adults must be mindful of their digital presence in the expanding digital world. This book provides a guide for librarians, educators, counselors, and administrators to guide secondary and higher education students in successfully practicing responsible citizenship and civics in the digital world. In our world where our social credit is held increasing value, digital civics and citizenship are powerful tools, especially for students just venturing into this expansive realm.

English | 2022 | ISBN: 0750333537, 978-0-7503-3355-9 | 241 pages | True PDF EPUB MOBI | 62.14 MB
This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students.

English | 2020 | ISBN: 0750331410 | 186 pages | True (PDF,EPUB,MOB) | 37.41 MB
essential part of our view of the world. Our world is measured and calibrated,

English | 2021 | ISBN: 0262045648 | 641 pages | True PDF | 57.5 MB
Philosophers discuss Jerome Wakefield's influential view of mental disorder as "harmful dysfunction," with detailed responses from Wakefield himself.

English | 2022 | ISBN: 978-1617298578 | 447 pages | PDF | 10.89 MB
Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency.

English | 2019 | ISBN: 9388511360 | 301 Pages | EPUB | 2.6 MB
This is a different Data Structures book. It uses C++ language to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues and Linked Lists work. The readers can actually experience (rather than imagine) sorting of an array, traversing of a doubly-linked list, construction of a binary tree, etc. through carefully crafted animations that depict these processes. All these animations are available on the Downloadable DVD. In addition, it contains numerous carefully-crafted figures, working programs and real-world scenarios where different data structures are used. This would help you understand the complicated operations being performed on different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands.